CReF: a central-residue-fragment-based method for predicting approximate 3-D polypeptides structures. - Márcio Dorn; Osmar Norberto de Souza (SAC, 2008)

Parallel Verified Linear System Solver for Uncertain Input Data. - Mariana Luderitz Kolberg; Márcio Dorn; Luiz Gustavo Fernandes; Gerd Bohlender (SBAC-PAD, 2008)

A Hybrid Method for the Protein Structure Prediction Problem. - Márcio Dorn; Ardala Breda; Osmar Norberto de Souza (BSB, 2008)

A3N: An artificial neural network n-gram-based method to approximate 3-D polypeptides structure prediction. - Márcio Dorn; Osmar Norberto de Souza (Expert Syst. Appl., 2010)

Mining the Protein Data Bank with CReF to predict approximate 3-D structures of polypeptides. - Márcio Dorn; Osmar Norberto de Souza (Int. J. Data Min. Bioinform., 2010)

A hybrid genetic algorithm for the 3-D protein structure prediction problem using a path-relinking strategy. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (IEEE Congress on Evolutionary Computation, 2011)

Combining Machine Learning and Optimization Techniques to Determine 3-D Structures of Polypeptides. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (IJCAI, 2011)

Hardware implementation of GMDH-type artificial neural networks and its use to predict approximate three-dimensional structures of proteins. - André L. S. Braga; Janier Arias-Garcia; Carlos H. Llanos; Márcio Dorn; Alfredo Foltran; Leandro dos Santos Coelho (ReCoSoC, 2012)

A GMDH polynomial neural network-based method to predict approximate three-dimensional structures of polypeptides. - Márcio Dorn; André L. S. Braga; Carlos H. Llanos; Leandro dos Santos Coelho (Expert Syst. Appl., 2012)

MOIRAE: a computational strategy to predict 3-D structures of polypeptides - Márcio Dorn (2012)

A knowledge-based genetic algorithm to predict three-dimensional structures of polypeptides. - Márcio Dorn; Mario Inostroza-Ponta; Luciana S. Buriol; Hugo Verli (IEEE Congress on Evolutionary Computation, 2013)

A cluster-DEE-based strategy to empower protein design. - Rafael K. de Andrades; Márcio Dorn; Daniel S. Farenzena; Luís C. Lamb (Expert Syst. Appl., 2013)

A molecular dynamics and knowledge-based computational strategy to predict native-like structures of polypeptides. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (Expert Syst. Appl., 2013)

An interval-based algorithm to represent conformational states of experimentally determined polypeptide templates and fast prediction of approximated 3D protein structures. - Márcio Dorn; Osmar Norberto de Souza (Int. J. Bioinform. Res. Appl., 2013)

Three-dimensional protein structure prediction: Methods and computational strategies. - Márcio Dorn; Mariel Barbachan e Silva; Luciana S. Buriol; Luís C. Lamb (Comput. Biol. Chem., 2014)

MOIRAE: A computational strategy to extract and represent structural information from experimental protein templates. - Márcio Dorn; Luciana S. Buriol; Luís C. Lamb (Soft Comput., 2014)

A Memetic Algorithm for Protein Structure Prediction based on Conformational Preferences of Aminoacid Residues. - Mario Inostroza-Ponta; Camilo Farfán; Márcio Dorn (GECCO (Companion), 2015)

APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. - Bruno Borguesan; Mariel Barbachan e Silva; Bruno Grisci; Mario Inostroza-Ponta; Márcio Dorn (Comput. Biol. Chem., 2015)

Improving protein tertiary structure prediction with conformational propensities of amino acid residues. - Bruno Borguesan; Jonas Bohrer; Mariel Barbachan e Silva; Leonardo de Lima Correa; Márcio Dorn (CEC, 2016)

Predicting protein structural features with NeuroEvolution of Augmenting Topologies. - Bruno Grisci; Márcio Dorn (IJCNN, 2016)

Evaluation of a combined energy fitness function for a distributed memetic algorithm to tackle the 3D protein structure prediction problem. - Ivan Escobar; Nicolas Hidalgo; Mario Inostroza-Ponta; Mauricio Marín; Erika Rosas; Márcio Dorn (SCCC, 2016)

D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm. - Bruno Ferreira de Faria Alixandre; Márcio Dorn (CEC, 2017)

An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures. - Leonardo de Lima Correa; Mario Inostroza-Ponta; Márcio Dorn (CEC, 2017)

SADE-SPL: A Self-Adapting Differential Evolution algorithm with a loop Structure Pattern Library for the PSP problem. - Mariana Oliveira 002; Bruno Borguesan; Márcio Dorn (CEC, 2017)

Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem. - Jorge Parraga-Alava; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2017)

Evaluating the use of local search strategies for a memetic algorithm for the protein-ligand docking problem. - Benjamin Ruiz-Tagle; Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (SCCC, 2017)

NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies. - Bruno Grisci; Márcio Dorn (J. Bioinform. Comput. Biol., 2017)

NIAS-Server: Neighbors Influence of Amino acids and Secondary Structures in Proteins. - Bruno Borguesan; Mario Inostroza-Ponta; Márcio Dorn (J. Comput. Biol., 2017)

A Genetic Algorithm Based on Restricted Tournament Selection for the 3D-PSP Problem. - Bruno Borguesan; Pedro Henrique Narloch; Mario Inostroza-Ponta; Márcio Dorn (CEC, 2018)

A Knowledge-Based Artificial Bee Colony Algorithm for the 3-D Protein Structure Prediction Problem. - Leonardo de Lima Correa; Márcio Dorn (CEC, 2018)

Microarray Classification and Gene Selection with FS-NEAT. - Bruno Iochins Grisci; Bruno César Feltes; Márcio Dorn (CEC, 2018)

Performance Comparison of Multi-Objective Local Search Strategies to Infer Phylogenetic Trees. - Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2018)

Understanding the Relationship Between Decision and Objective Space in the Multi-Objective Phylogenetic Inference Problem. - Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (CEC, 2018)

A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. - Jorge Parraga-Alava; Márcio Dorn; Mario Inostroza-Ponta (BioData Min., 2018)

Three-dimensional protein structure prediction based on memetic algorithms. - Leonardo de Lima Correa; Bruno Borguesan; Mathias J. Krause; Márcio Dorn (Comput. Oper. Res., 2018)

Everyone Is a Protagonist: Residue Conformational Preferences in High-Resolution Protein Structures. - Rodrigo Ligabue-Braun; Bruno Borguesan; Hugo Verli; Mathias J. Krause; Márcio Dorn (J. Comput. Biol., 2018)

A Memetic Algorithm for 3D Protein Structure Prediction Problem. - Leonardo de Lima Correa; Bruno Borguesan; Camilo Farfán; Mario Inostroza-Ponta; Márcio Dorn (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Rosetta Ligand-Protein Docking with Self-Adaptive Differential Evolution. - Pedro Henrique Narloch; Márcio Dorn (BIBE, 2019)

A Biased Random Key Genetic Algorithm with Local Search Chains for Molecular Docking. - Pablo Felipe Leonhart; Márcio Dorn (EvoApplications, 2019)

A Knowledge Based Differential Evolution Algorithm for Protein Structure Prediction. - Pedro Henrique Narloch; Márcio Dorn (EvoApplications, 2019)

A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structures. - Leonardo de Lima Corrêa; Márcio Dorn (ICCS (3), 2019)

A Self-adaptive Local Search Coordination in Multimeme Memetic Algorithm for Molecular Docking. - Pablo Felipe Leonhart; Pedro Henrique Narloch; Márcio Dorn (ICCS (3), 2019)

A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction. - Pedro Henrique Narloch; Márcio Dorn (ICCS (3), 2019)

Neuroevolution as a tool for microarray gene expression pattern identification in cancer research. - Bruno Iochins Grisci; Bruno César Feltes; Márcio Dorn (J. Biomed. Informatics, 2019)

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research. - Bruno César Feltes; Laure Chandelier; Bruno Iochins Grisci; Márcio Dorn (J. Comput. Biol., 2019)

A biased random key genetic algorithm for the protein-ligand docking problem. - Pablo Felipe Leonhart; Eduardo Spieler; Rodrigo Ligabue-Braun; Márcio Dorn (Soft Comput., 2019)

A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. - Manuel Villalobos-Cid; Márcio Dorn; Rodrigo Ligabue-Braun; Mario Inostroza-Ponta (IEEE Trans. Evol. Comput., 2019)

A dynamic evolutionary multi-agent system to predict the 3D structure of proteins. - Leonardo de Lima Correa; Luciana Arantes; Pierre Sens 001; Mario Inostroza-Ponta; Márcio Dorn (CEC, 2020)

Multi-Objective Differential Evolution Algorithms for the Protein Structure Prediction Problem. - Pedro Henrique Narloch; Mathias J. Krause; Márcio Dorn (CEC, 2020)

Determining the Conformational Flexibility of Disaccharides with an Adaptive Differential Evolution Approach. - Alfeu Uzai Tavares; Márcio Dorn (CEC, 2020)

Differential Evolution Multi-Objective for Tertiary Protein Structure Prediction. - Pedro Henrique Narloch; Márcio Dorn (EvoApplications, 2020)

ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories. - Marcelo Depólo Polêto; Bruno Iochins Grisci; Márcio Dorn; Hugo Verli (Bioinform., 2020)

Solving fluid flow domain identification problems with adjoint lattice Boltzmann methods. - Fabian Klemens; Benjamin Förster; Márcio Dorn; Gudrun Thäter; Mathias J. Krause (Comput. Math. Appl., 2020)

Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras. - Jonas da Silveira Bohrer; Bruno Iochins Grisci; Márcio Dorn (CoRR, 2020)

Hemogram Data as a Tool for Decision-making in COVID-19 Management: Applications to Resource Scarcity Scenarios. - Eduardo Avila; Márcio Dorn; Clarice Sampaio Alho; Alessandro Kahmann (CoRR, 2020)

Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms. - Mario Inostroza-Ponta; Márcio Dorn; Ivan Escobar; Leonardo de Lima Correa; Erika Rosas; Nicolas Hidalgo; Mauricio Marín (J. Comput. Sci., 2020)

A multi-population memetic algorithm for the 3-D protein structure prediction problem. - Leonardo de Lima Corrêa; Márcio Dorn (Swarm Evol. Comput., 2020)

Optimisation of Cancer Status Prediction Pipelines using Bio-Inspired Computing. - Mariel Barbachan e Silva; Pedro Henrique Narloch; Márcio Dorn; Pilib Ó Broin (CEC, 2021)

Evaluating the Success-History Based Adaptive Differential Evolution in the Protein Structure Prediction Problem. - Pedro Henrique Narloch; Márcio Dorn (EvoApplications, 2021)

A multi-objective approach for the protein structure prediction problem. - Sebastián Aliaga-Rojas; Manuel Villalobos-Cid; Márcio Dorn; Mario Inostroza-Ponta (SCCC, 2021)

A Study on Shape-Dependent Settling of Single Particles with Equal Volume Using Surface Resolved Simulations. - Robin Trunk; Colin Bretl; Gudrun Thäter; Hermann Nirschl; Márcio Dorn; Mathias J. Krause (Comput., 2021)

Relevance aggregation for neural networks interpretability and knowledge discovery on tabular data. - Bruno Iochins Grisci; Mathias J. Krause; Márcio Dorn (Inf. Sci., 2021)

Benchmarking and Testing Machine Learning Approaches with BARRA: CuRDa, a Curated RNA-Seq Database for Cancer Research. - Bruno César Feltes; Joice De Faria Poloni; Márcio Dorn (J. Comput. Biol., 2021)

Modifying the catalytic preference of alpha-amylase toward n-alkanes for bioremediation purposes using in silico strategies. - Éderson Sales Moreira Pinto; Bruno César Feltes; Conrado Pedebos; Márcio Dorn (J. Comput. Chem., 2021)

Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets. - Márcio Dorn; Bruno Iochins Grisci; Pedro Henrique Narloch; Bruno César Feltes; Eduardo Avila; Alessandro Kahmann; Clarice Sampaio Alho (PeerJ Comput. Sci., 2021)

A Multi-population Schema Designed for Biased Random-Key Genetic Algorithms on Continuous Optimisation Problems. - Mateus Boiani; Rafael Stubs Parpinelli; Márcio Dorn (BRACIS (1), 2022)

Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions. - Itamar José Guimarães Nunes; Bruno César Feltes; Murilo Zanini David; Márcio Dorn (J. Biomed. Informatics, 2022)

Multi-Objective Wrapper Differential Evolution with Guided Initial Population for Feature Selection. - Gabriel Dominico; Juliana S. Bernardes; Leonardo Da Luz Dorneles; Márcio Dorn (CEC, 2023)

Benchmark Problems on GPU: Accelerating Experiments on Metaheuristics. - Leonardo Da Luz Dorneles; Mateus Boiani; Márcio Dorn (CEC, 2023)

A Fitness-Based Migration Policy for Biased Random-Key Genetic Algorithms. - Mateus Boiani; Rafael Stubs Parpinelli; Márcio Dorn (EvoApplications@EvoStar, 2023)

Implicit propagation of directly addressed grids in lattice Boltzmann methods. - Adrian Kummerländer; Márcio Dorn; Martin Frank; Mathias J. Krause (Concurr. Comput. Pract. Exp., 2023)

NIAS-Server 2.0: A versatile complementary tool for structural biology studies. - Bruno César Feltes; Éderson Sales Moreira Pinto; Arthur Tonietto Mangini; Márcio Dorn (J. Comput. Chem., 2023)

An evolutionary algorithm based on parsimony for the multiobjective phylogenetic network inference problem. - Manuel Villalobos-Cid; Márcio Dorn; Ángela Contreras; Mario Inostroza-Ponta (Appl. Soft Comput., 2023)

A Multiobjective Evolutionary Algorithm for Colon Cancer Biomarkers Identification on Gene Expression Data. - Jorge Cubillos-Chaparro; Márcio Dorn; Manuel Villalobos-Cid; Mario Inostroza-Ponta (CIBCB, 2024)

Analysis and comparison of feature selection methods towards performance and stability. - Matheus Cezimbra Barbieri; Bruno Iochins Grisci; Márcio Dorn (Expert Syst. Appl., 2024)

Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data. - Jonas da Silveira Bohrer; Márcio Dorn (Expert Syst. Appl., 2024)

The use of gene expression datasets in feature selection research: 20 years of inherent bias? - Bruno Iochins Grisci; Bruno César Feltes; Joice De Faria Poloni; Pedro Henrique Narloch; Márcio Dorn (WIREs Data. Mining. Knowl. Discov., 2024)

Assessing feature scorer results on high-dimensional datasets with t-SNE. - Bruno Iochins Grisci; Mario Inostroza-Ponta; Márcio Dorn (Neurocomputing, 2025)

Optimization of single node load balancing for lattice Boltzmann method on heterogeneous high performance computers. - Adrian Kummerländer; Fedor Bukreev; Dennis Teutscher; Márcio Dorn; Mathias J. Krause (J. Parallel Distributed Comput., 2025)